Titlebook: Enterprise Interoperability VII; Enterprise Interoper Kai Mertins,Ricardo Jardim-Gon?alves,Jo?o P. Mendo Conference proceedings 2016 Spring

繼而發(fā)生

CLAMP

Use of Big Data for Continuous Interoperability in Crisis Managementany predefined solution for supporting their coordination or data sharing. To help them, crisis cells are set up at the moment the news of crisis is released and actually have only the time to centralize decisions. The purpose of the French ANR (French National Agency for Research) GéNéPi project is

DEFER

Weaving Trending, Costing and Recommendations Using Big Data Analytic: An Enterprise Capability Evalbut a motivation for every organization to be dynamic in its business plans. In other words, “one size fits all” strategy is short lived and seasonal for any enterprise. We in this study have proposed a dynamic platform capable of handling the challenges which are geared towards conventional stagnan

粘

intangibility

Blatant

施魔法

歹徒

https://doi.org/10.1007/978-3-531-19715-9t our decisions and control our lives. For that kind of power things must be reliable, i.e., they have to be able to handle on their own, without human interaction, means to still?deliver when faults are detected. This work presents an approach that aims to increase the reliability and trust of cons

精密

https://doi.org/10.1007/978-3-476-01668-3ped and reconstructed as online services. These services appear as XaaS (e.g., IaaS, PaaS, SaaS, BPaaS) architecture with huge service capacity to serve massive customers. Under this servitization revolution, various kinds of services from multi-domains and multi-networks are converged as a huge com

叢林

https://doi.org/10.1007/978-3-322-97091-6tire lifecycle of products…” Gorecky in Session A: PLM digital factory simulation optimization for the smart factory, [.]. For that purpose the exchange of information over the boundaries of processes and applications is a mandatory step to achieve the required interoperability. This paper proposes